Text-Line Extraction
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Benchmarks
DIVA-HisDB
Most implemented
Papers
Text line extraction using fully convolutional network and energy minimization
Text lines are important parts of handwritten document images and easier to analyze by further applications. Despite recent progress in text line detection, text line extraction from a handwritten document remains an uns…
Line DetectionText-Line ExtractionLabeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts
This paper introduces a new way for text-line extraction by integrating deep-learning based pre-classification and state-of-the-art segmentation methods. Text-line extraction in complex handwritten documents poses a sign…
DenoisingSegmentationSemantic SegmentationText-Line ExtractionDIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts
This paper introduces a publicly available historical manuscript database DIVA-HisDB for the evaluation of several Document Image Analysis (DIA) tasks. The database consists of 150 annotated pages of three different medi…
BinarizationDocument Layout AnalysisSegmentationText-Line ExtractionText Flow: A Unified Text Detection System in Natural Scene Images
The prevalent scene text detection approach follows four sequential steps comprising character candidate detection, false character candidate removal, text line extraction, and text line verification. However, errors occ…
Scene Text DetectionText DetectionText-Line Extraction